OpenBench has an extensive collection of built-in benchmark tests, numbering over 20, which comprehensively cover all key dimensions of language modeling ability. The Knowledge domain contains the MMLU benchmark for assessing the world knowledge of the model; the Reasoning domain contains specialized tests such as GPQA; the Coding ability assessment is implemented through HumanEval; and the Math ability contains competition-level specialized tests such as AIME and HMMT.
These benchmark tests are standardized test sets validated by academia and industry, ensuring authoritative and comparable evaluation results. openBench integrates these tests through a unified interface, enabling developers to obtain the performance of a model in different capability dimensions at the same time through simple commands, which greatly improves evaluation efficiency.
This answer comes from the articleOpenBench: an open source benchmarking tool for evaluating language modelsThe
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